Typhoon2.1-Gemma3-4B: Thai Large Language Model (Instruct)

Typhoon2.1-Gemma3-4B is a instruct Thai ๐Ÿ‡น๐Ÿ‡ญ large language model with 4 billion parameters, a 128K context length, and function-calling capabilities. It is based on Gemma3 4B.

This repo contains gguf q4_k_m quantization of the original Typhoon2.1 4B.

Remark: This is text only model.

Performance

4b model performance

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo scb10x/typhoon2.1-gemma3-4b-gguf --hf-file typhoon2.1-gemma3-4b-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo scb10x/typhoon2.1-gemma3-4b-gguf --hf-file typhoon2.1-gemma3-4b-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo scb10x/typhoon2.1-gemma3-4b-gguf --hf-file typhoon2.1-gemma3-4b-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo scb10x/typhoon2.1-gemma3-4b-gguf --hf-file typhoon2.1-gemma3-4b-q4_k_m.gguf -c 2048
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